Explore the key results of the QUANTUM project. This section showcases our deliverables, providing insights into our progress and the innovative tools, frameworks, and knowledge we have developed.

This report outlines how we define and measure the quality and usefulness of data. Building on previous work and expert discussions, it provides a clear framework for assessing data quality. It explains the key metrics, scoring system, and format of the data quality and utility label, making it easier to evaluate and compare different datasets.

This report explores how well data holders (such as organizations or businesses) are prepared to manage and maintain high-quality data. It introduces a structured approach—the Data Holders’ Maturity Model—that assesses their strengths and areas for improvement. The findings and recommendations help guide better data management practices.